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Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series
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Programmable Image-Based Light Capture for Previsualization
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Congestion Control for Streaming Media
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Automaton Meet Algebra: A Hybrid Paradigm for Efficiently Processing XQuery over XML Stream
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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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Dynamic Optimization and Migration of Continuous Queries Over Data Streams
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Deep Learning on Attributed Sequences
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Deep Learning on Graph-structured Data
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Time Series Data Analytics
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Outlier Detection In Big Data
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The Impact of Latency on Players in First-person Shooter Games
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Using Autoencoder Feature Residuals to Improve Network Intrusion Detection
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Frequent Pattern Mining Analytics
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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